class_docstr: Defines the interface for metrics.
docstr: Resets internal stat gathering variables used to compute the metric.
docstr_tok: ["Resets","internal","stat","gathering","variables","used","to","compute","the","metric","."]
code: def reset(self):
      """Resets internal stat gathering variables used to compute the metric."""
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Any, Optional, Sequence, Text, Union
  from absl import logging
  import numpy
  import six
  import tensorflow
  from tf_agents.metrics import tf_metric
  from tf_agents.trajectories import trajectory
  from tf_agents.typing import types
  from tf_agents.utils import common
label_desc: Use image node_id 3 for calling the PyMetric obj's underlying member method code with example usage: obj.reset() without return types